Literature DB >> 30006691

Assessment of Computed Tomography (CT)-Defined Muscle and Adipose Tissue Features in Relation to Short-Term Outcomes After Elective Surgery for Colorectal Cancer: A Multicenter Approach.

Lisa Martin1, Jessica Hopkins2,3, Georgios Malietzis4,5, J T Jenkins4,5, Michael B Sawyer3, Ron Brisebois2, Anthony MacLean6, Gregg Nelson7, Leah Gramlich8, Vickie E Baracos9.   

Abstract

BACKGROUND: Sarcopenia, visceral obesity (VO), and reduced muscle radiodensity (myosteatosis) are suggested risk factors for postoperative morbidity in colorectal cancer (CRC), but usually are not concurrently assessed. Published thresholds used to define these features are not CRC-specific and are defined in relation to mortality, not postoperative outcomes. This study aimed to evaluate body composition in relation to length of hospital stay (LOS) and postoperative outcomes.
METHODS: Pre-surgical computed tomography (CT) images were assessed for total area and radiodensity of skeletal muscle and visceral adipose tissue in a pooled Canadian and UK cohort (n = 2100). Sex- and age-specific values for these features were calculated. For 1139 of 2100 patients, LOS data were available, and sex- and age-specific thresholds for sarcopenia, myosteatosis, and VO were defined on the basis of LOS. Association of CT-defined features with LOS and readmissions was explored using negative binomial and logistic regression models, respectively.
RESULTS: In the multivariable analysis, the predictors of LOS (P < 0.001) were age, surgical approach, major complications (incidence rate ratio [IRR] 2.42; 95% confidence interval [CI] 2.18-2.68), study cohort, and three body composition profiles characterized by myosteatosis combined with either sarcopenia (IRR, 1.27; 95% CI 1.12-1.43) or VO (IRR, 1.25; 95% CI 1.10-1.42), and myosteatosis combined with both sarcopenia and VO (IRR, 1.58; 95% CI 1.29-1.93). In the multivariable analysis, risk of readmission was associated with VO alone (odds ratio [OR] 2.66; 95% CI 1.18-6.00); P = 0.018), VO combined with myosteatosis (OR, 2.72; 95% CI 1.36-5.46; P = 0.005), or VO combined with myosteatosis and sarcopenia (OR, 2.98; 95% CI 1.06-5.46; P = 0.038). Importantly, the effect of body composition profiles on LOS and readmission was independent of major complications.
CONCLUSION: The findings showed that CT-defined multidimensional body habitus is independently associated with LOS and hospital readmission.

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Year:  2018        PMID: 30006691     DOI: 10.1245/s10434-018-6652-x

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  23 in total

1.  Automated body composition analysis of clinically acquired computed tomography scans using neural networks.

Authors:  Michael T Paris; Puneeta Tandon; Daren K Heyland; Helena Furberg; Tahira Premji; Gavin Low; Marina Mourtzakis
Journal:  Clin Nutr       Date:  2020-01-22       Impact factor: 7.324

2.  The psoas muscle density as a predictor of postoperative complications and 30-day mortality for acute mesenteric ischemia patients.

Authors:  Shou-Liang Miao; Xiao-Ning Ye; Xiang-Wu Zheng; Fan-Feng Chen; Ting-Ting Lin; Yi-Hui Qiu; Jing-Yong Huang
Journal:  Abdom Radiol (NY)       Date:  2020-09-05

3.  Association of adipose tissue and skeletal muscle metrics with overall survival and postoperative complications in soft tissue sarcoma patients: an opportunistic study using computed tomography.

Authors:  Robert D Boutin; Jeremy R Katz; Abhijit J Chaudhari; Jonathan G Yabes; Jonah S Hirschbein; Yves-Paul Nakache; J Anthony Seibert; Ramit Lamba; Ghaneh Fananapazir; Robert J Canter; Leon Lenchik
Journal:  Quant Imaging Med Surg       Date:  2020-08

4.  Assessment of the Clinical Usefulness of Preoperative Computed Tomography in Colorectal Cancer Patients Who Received Unplanned Reoperation.

Authors:  Rui Wang; Yi Gao; Jia-Yi Li; Zhong-Hui Wang; Qin-Qing Li; Jun Feng; Chengde Liao
Journal:  Gastroenterol Res Pract       Date:  2020-06-27       Impact factor: 2.260

5.  Association of Low Muscle Mass and Low Muscle Radiodensity With Morbidity and Mortality for Colon Cancer Surgery.

Authors:  Jingjie Xiao; Bette J Caan; Elizabeth M Cespedes Feliciano; Jeffrey A Meyerhardt; Peter D Peng; Vickie E Baracos; Valerie S Lee; Sora Ely; Rebecca C Gologorsky; Erin Weltzien; Candyce H Kroenke; Marilyn L Kwan; Stacey E Alexeeff; Adrienne L Castillo; Carla M Prado
Journal:  JAMA Surg       Date:  2020-10-01       Impact factor: 14.766

6.  Preoperative Muscle Strength Is a Predictor of Outcomes After Esophagectomy.

Authors:  Madison E Colcord; Jennifer H Benbow; Sally Trufan; Nicole L Gower; Meredith E Byrne; Reilly E Shea; Michael D Watson; Joshua S Hill; M Hart Squires; Jonathan C Salo
Journal:  J Gastrointest Surg       Date:  2021-11-02       Impact factor: 3.452

7.  The relationship between computed tomography-derived body composition, systemic inflammatory response, and survival in patients undergoing surgery for colorectal cancer.

Authors:  Ross D Dolan; Arwa S Almasaudi; Ly B Dieu; Paul G Horgan; Stephen T McSorley; Donald C McMillan
Journal:  J Cachexia Sarcopenia Muscle       Date:  2018-11-20       Impact factor: 12.910

8.  Various myosteatosis selection criteria and their value in the assessment of short- and long-term outcomes following liver transplantation.

Authors:  Franziska Alexandra Meister; Jan Bednarsch; Iakovos Amygdalos; Joerg Boecker; Pavel Strnad; Philipp Bruners; Sven Arke Lang; Tom Florian Ulmer; Lara Heij; Daniel Antonio Morales Santana; Wen-Jia Liu; Georg Lurje; Ulf Peter Neumann; Zoltan Czigany
Journal:  Sci Rep       Date:  2021-06-28       Impact factor: 4.379

9.  Computed tomography-based psoas skeletal muscle area and radiodensity are poor sentinels for whole L3 skeletal muscle values.

Authors:  Katie E Rollins; Aravin Gopinath; Amir Awwad; Ian A Macdonald; Dileep N Lobo
Journal:  Clin Nutr       Date:  2019-10-14       Impact factor: 7.324

10.  CT-assessed sarcopenia is a predictive factor for both long-term and short-term outcomes in gastrointestinal oncology patients: a systematic review and meta-analysis.

Authors:  Huaiying Su; Junxian Ruan; Tianfeng Chen; Enyi Lin; Lijing Shi
Journal:  Cancer Imaging       Date:  2019-12-03       Impact factor: 3.909

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